{"id":"W3017542600","doi":"","title":"Snowflake Size Distribution Measurements in South Central Ontario, Canada","year":2007,"lang":"en","type":"article","venue":"AGUSM","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Snowflake; Distribution (mathematics); Mathematics; Meteorology; Snow","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023458,0.00007959826,0.00008894342,0.000004826493,0.00005458438,0.000006946978,0.0001045166,0.00004669325,0.001892899],"category_scores_gemma":[0.00003386407,0.00007245311,0.000018275,0.00008826236,0.00002864521,0.00004728436,0.00004569611,0.00009953274,0.00003359756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471061,"about_ca_system_score_gemma":0.00008031679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9665483,"about_ca_topic_score_gemma":0.9997666,"domain_scores_codex":[0.9990051,0.00001479597,0.0001499383,0.0001721661,0.0002252149,0.000432729],"domain_scores_gemma":[0.9997253,0.00002550782,0.00003596091,0.000102491,0.000002999805,0.0001077099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001525229,0.00002296768,0.9942858,6.03361e-7,0.000002727958,0.00002514706,0.0002598344,0.00005407928,0.0002214283,0.00000539694,0.00455636,0.0005504283],"study_design_scores_gemma":[0.0003859433,0.00001872689,0.9769109,0.000002657117,0.000003162381,0.000002486119,0.00003272684,0.000009506077,0.0003033053,0.00004001133,0.02220099,0.00008960259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889699,0.00000654877,0.00008079167,0.000087933,0.0002111877,0.00007967996,0.000009762363,0.000007868354,0.01054629],"genre_scores_gemma":[0.9987028,5.192715e-7,0.00003064408,0.0002297266,0.00002614262,0.000002559382,0.00004187361,0.000003430316,0.0009623458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03321828,"threshold_uncertainty_score":0.9990195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042508609346619,"score_gpt":0.1943085387034986,"score_spread":0.1838834526100324,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}